Operating matter-wave interferometers as quantum detectors for fundamental physics or inertial sensors with unprecedented ...

Sidney Perkowitz looks into alternative computing methods inspired by physics to improve computational efficiency and power ...

MIT researchers found that as diffusion models scale, individual training examples have less measurable influence on outputs, ...

DeepSeek released DSpark on June 27, a speculative decoding framework that accelerates per-user generation speeds by 60% to 85% on its DeepSeek-V4 Flash model and 57% to 78% on the Pro variant. DSpark ...

Integrating related events in memory is essential for building knowledge that extends beyond direct observation and enables flexible inference. Here, we show that acute stress impairs inference by ...

Stanford adjunct professor and successfully exited founder Zain Asgar just raised an $80 million Series A for a startup that solve the AI inference bottleneck problem in an astute way. The round was ...

Inference marks the next stage of AI adoption. Whereas training AI builds the model's intelligence, inference concerns how the model operates in real-world use cases. A great example would be the ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

There are more licensed female drivers in the U.S. than male drivers. But men nonetheless drive far more than women each year. A disproportionate share of fatal traffic accidents involves male drivers ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI inference. LAS VEGAS — Not so long ago — last year, let’s say — tech industry ...